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Related Concept Videos

Quantitative Analysis01:12

Quantitative Analysis

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Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
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How Data are Classified: Numerical Data00:59

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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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Cochran's Q Test01:17

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Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
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Surveys02:16

Surveys

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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Archival Research01:40

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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
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Quantitative research.

Roger Watson1

  • 1Faculty of Health and Social Care, University of Hull, Hull, England.

Nursing Standard (Royal College of Nursing (Great Britain) : 1987)
|April 2, 2015
PubMed
Summary
This summary is machine-generated.

This article explains quantitative research methods, covering variables, measurement, and data analysis. It highlights experiments, surveys, and data storage for reliable scientific inquiry.

Keywords:
Experimentsmeasurementnursing researchquantitative researchreliabilitysurveysvalidity

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Area of Science:

  • Social Sciences
  • Health Sciences
  • Educational Research

Background:

  • Quantitative research forms the bedrock of empirical evidence in numerous scientific disciplines.
  • Understanding its core principles is crucial for designing and interpreting studies accurately.

Purpose of the Study:

  • To provide a comprehensive overview of the fundamental principles of quantitative research.
  • To elucidate key concepts including variables, measurement, research designs, data storage, and analysis.

Main Methods:

  • Explanation of dependent and independent variables.
  • Exploration of measurement issues: error, reliability, and validity.
  • Description of research designs: experiments and surveys, emphasizing double-blind randomized controlled trials and longitudinal surveys.

Main Results:

  • Detailed examination of experimental and survey methodologies.
  • Emphasis on the superiority of longitudinal over cross-sectional survey designs.
  • Guidelines for secure and anonymous data storage.

Conclusions:

  • Quantitative research relies on rigorous methodology for valid and reliable findings.
  • Proper data handling and statistical analysis are essential for drawing meaningful conclusions.